PITFALLS AND POTENTIALS OF CROWD SCIENCE: A META-ANALYSIS OF CONTEXTUAL INFLUENCES

A. Klippel, K. Sparks, and J. O. Wallgrün
Department of Geography, The Pennsylvania State University University Park, Pennsylvania, USAKeywords: Crowd Science, Language, Methods, EvaluationAbstract. Crowd science is becoming an integral part of research in many disciplines. The research discussed in this paper lies at the intersection of spatial and behavioral sciences, two of the greatest beneficiaries of crowd science. As a young methodological development, crowd science needs attention from the perspective of a rigorous evaluation of the data collected to explore potentials as well as limitations (pitfalls). Our research has addressed a variety of contextual effects on the validity of crowdsourced data such as cultural, linguistic, regional, as well as methodological differences that we will discuss here in light of semantics.Conference paper (PDF, 1754 KB)